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Found 7 papers, 5 papers with code
Fair Clustering: A Causal Perspective
Our approach enables the specification of the causal fairness metrics that should be minimised.
On the Properties and Estimation of Pointwise Mutual Information Profiles
The pointwise mutual information profile, or simply profile, is the distribution of pointwise mutual information for a given pair of random variables.
Genomic reproducibility in the bioinformatics era
In biomedical research, validation of a new scientific discovery is tied to the reproducibility of its experimental results.
Beyond Normal: On the Evaluation of Mutual Information Estimators
Mutual information is a general statistical dependency measure which has found applications in representation learning, causality, domain generalization and computational biology.
Practical and scalable simulations of non-Markovian stochastic processes and temporal networks with individual node properties
Discrete stochastic processes are prevalent in natural systems, with applications in physics, biochemistry, epidemiology, sociology, and finance.
High-Dimensional Inference in Bayesian Networks
Inference of the marginal probability distribution is defined as the calculation of the probability of a subset of the variables and is relevant for handling missing data and hidden variables.
Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG
The package includes tools to search for a maximum a posteriori (MAP) graph and to sample graphs from the posterior distribution given the data.
